Offers “Ernst & Young”

Expires soon Ernst & Young

Associate - Data Scientist

  • Jakarta, Indonesia
  • Studies / Statistics / Data

Job description

EY Data and Analytics is the data and advanced analytics capability within EY Asia-Pacific.  We have more than 330 specialist staff in Australia, New Zealand, Singapore, Hong Kong, Korea, The Philippines and Malaysia.

EY Data and Analytics creates intelligent client organizations using data & advanced analytics.  We go beyond strategy and provide end to end implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientist, big data engineers, developers and consultants in the region.  

Due to our continued growth we are looking for a talented, inquisitive and proactive Data Science join our team.

 
About the role:

The EY Data and Analytics Indonesia practice works on the design, development and delivery of the most innovative data focused solutions for our clients. In this role you will be using various machine learning techniques such as Linear Regression, Random Forests, Neural Networks etc. to analyze multiple sources of structured, semi-structured and unstructured data.

 
About us:
The EY Data and Analytics team are specialists in information management, advanced analytics and business intelligence. We implement the information-driven strategies and systems that offer the highest return on investment, profitability, and service or policy outcomes for our clients.

Why us:
 
We work with some of the world’s most influential businesses on many of their most exciting Bigdata and IoT projects. Our sheer scale, scope and reach will provide you with the experiences, challenges and contacts that can inspire you for life
Our culture means you can succeed whatever your background, work to your natural strengths, and learn from a remarkably diverse and talented group of people in a dynamic and collaborative global business environment
 
 
What we look for:
 
Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization. If you’re ready to take on a wide range of responsibilities, and are committed to seeking out new ways to make a difference, this role is for you.

 
What working at EY offer:
 
EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy. Plus, we offer:
·  Support, coaching and feedback from some of the most engaging colleagues around
·  Opportunities to develop new skills and progress your career
·  The freedom and flexibility to handle your role in a way that’s right for you
 
 
About EY

As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality.

Ideally you will have a background in Maths and/or Statistics, a good flare to present complex algorithms and concepts in a simple format and an understanding of the commercial value, the data provides the client.
The ideal candidate will have some or all of the following skills and experience:
·  Applying computer-aided statistical modelling to solve business problems
·  Machine learning, data mining and information retrieval.
·  Extracting information from a wide variety of sources including quantitative, qualitative and big data sources
·  At least one of the following modelling software packages: MATLAB, R, SAS, SPSS.
·  At least one of the following scripting languages: C++, Java, Python.
·  Data visualisation experience – Tableau / Qlikview / D3.js / Power BI and SAS VA as one of the tool aside from Tableau/Qlikview
·  Understand about artificial intelligence, deep learning and advanced predictive modelling is a plus
·  Demonstrating your ability to adapt quickly and manage an environment of rapid change and development, and lead others through this process
·  Tertiary qualifications (a Masters or PhD degree) in a quantitative discipline, such as Statistics, Econometrics, Applied Mathematics, Engineering, Applied Science., or equivalent highly desired.

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